TY - GEN
T1 - An automatic K-Wishart distribution ship detector for PolSAR data
AU - Fan, Weiwei
AU - Zhou, Feng
AU - Tao, Mingliang
AU - Bai, Xueru
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/1
Y1 - 2016/11/1
N2 - This paper presents an automatic ship detection algorithm for polarimetric synthetic aperture radar (PolSAR) data. Based on the non-Gaussian K-Wishart distribution model for complex backscattering coefficients, the PolSAR image is clustered automatically by a modified expectation maximization algorithm. A goodness-of-fit test is incorporated to improve the model fitness of the cluster iteratively. Then, the SPAN of ship cluster center is used to detect ships. Finally, the experimental results of a real measured UAVSAR dataset show that the proposed algorithm could improve the ability of weak target detection while reduces the rate of false alarm and miss detections.
AB - This paper presents an automatic ship detection algorithm for polarimetric synthetic aperture radar (PolSAR) data. Based on the non-Gaussian K-Wishart distribution model for complex backscattering coefficients, the PolSAR image is clustered automatically by a modified expectation maximization algorithm. A goodness-of-fit test is incorporated to improve the model fitness of the cluster iteratively. Then, the SPAN of ship cluster center is used to detect ships. Finally, the experimental results of a real measured UAVSAR dataset show that the proposed algorithm could improve the ability of weak target detection while reduces the rate of false alarm and miss detections.
KW - Goodness-of-fit test
KW - K-Wishart classifier
KW - polarimetric synthetic aperture radar (PolSAR)
KW - ship detection
UR - https://www.scopus.com/pages/publications/85007415586
U2 - 10.1109/IGARSS.2016.7730236
DO - 10.1109/IGARSS.2016.7730236
M3 - 会议稿件
AN - SCOPUS:85007415586
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 4738
EP - 4741
BT - 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016
Y2 - 10 July 2016 through 15 July 2016
ER -